What do employees say when you ask them what they expect from an AI-based assistant? That it works across all systems. And that’s exactly why amberAI is a good alternative to Microsoft’s Copilot.
In this blog article, we explain what amberAI is and what you can do with amberAI. Above all, you can use amberAI to find information quickly and have the content prepared in the form you want.
Table of Contents
What is amberAI?
amberAI is a German Microsoft Copilot alternative that is aimed at SMEs. As a core function, amberAI summarises the internal knowledge of companies from various data sources and thus makes the often distributed know-how accessible. With amberAI, you can ask specific questions about certain documents or folders and thus get the user experience that you are used to from various tools on the Internet in your company. The big advantage here is that amberAI does not just focus on one software system, such as MS Copilot, generativeAI Assistant from Atlassian, Google Duet AI or EinsteinAI, but can really connect various data sources. At the same time, amberAI takes all access rights into account and is a GDPR-compliant solution.
When should I use amberAI as an alternative to Microsoft Copilot or other AI assistants?
In many companies, the situation is as follows: Over the years, more and more software systems have been introduced. For employees, this means more and more ways to store information in the various data silos. Some quickly switch to the new systems, while others prefer to stick with the status quo. This creates quite a bit of chaos:
If an employee wants information about a product, the information is not only stored in SharePoint, for example, but sometimes also in the project management tool, a PLM and sometimes also in the email inbox.
In order to be able to provide a detailed answer, the information stored in the various systems must be taken into account.
In practice, employees spend around 30 minutes a day, according to other studies even up to 1.5 hours a day, on internal company research. A figure that has already increased by 77% in recent years and will continue to rise with the current data growth in companies. By the way, in this blog article we describe the pain point and the business case for an AI assistant.
So what are the specific use cases in which amberAI acts as an alternative to Microsoft Copilot or other AI tools?
In the following, we would like to present some use cases in which amberAI can make very good use of the advantages that information is mapped in a fairly decentralised way:
- Finding information from a standard:
As a young engineer, it is important to find internal know-how quickly. With amberAI, it is easy to find out which standard should be used for a particular case. Then amberAI can be used to find the right information in the standard itself. This use case works just as well on other types of documents, such as contracts. There, typical questions about payment deadlines, cancellation dates, etc. can be found quickly.
- Find reference customers:
Salespeople are often asked whether there are already references for a particular product. However, it is often not well documented which customers may be named publicly. amberAI finds the right references in the CRM, emails or drives and prepares them in a nice flowing text in an email for the salesperson.
- Receive technical support
In an organisation, employees often have questions about technology, whether it’s connecting to printers, troubleshooting software issues or other technical challenges. There are usually help pages or internal documentation that can answer such questions, but it can be time-consuming to find the right information. With amberAI, you can get the information you need for your problem. No matter whether the information is in a guideline, a team message or a PDF on the drives.
- Have texts formulated for quotations
When customers request a quote, it should solve exactly the problems discussed in advance. Use amberAI to generate some texts from your notes or problem statements to perfectly solve your customer’s problems.
- Answer email enquiries
Many companies receive the same questions over and over again, which can be solved using existing information. However, these are not always well stored. amberAI searches the various data silos in the background and formulates an answer to the question for you. This gives you an answer with comprehensive knowledge.
- Understand documents in foreign languages
Do you work in an international team and not all documents are written in a language you understand? Then simply use amberAI to have the Jira ticket, the drive document, the e-mail or, for example, a technical data sheet explained to you in your language.
- Fill out documents
Do you need to fill out an application or form and don’t want to write all the information manually? Then use amberAI to have the information pre-formulated based on your existing documents!
We explain an overview of possible use cases on our YouTube channel. Follow us there.
What can amberAI do that Microsoft Copilot can’t?
Build GPTs for your company:
You can now build GPTs at ChatGPT. GPTs are small chat systems that work on a defined data set. At amberAI this is the Bookmarks Chat. Develop different bookmark groups for yourself and answer questions for which you do not want to use the entirety of all documents as a basis. This allows you to provide chat systems specifically for IT support, onboarding, product knowledge, etc… for your colleagues.
Search images based on content
With amberSearch, you can also find images based on their content – regardless of whether they are in M365, your drives or your intranet. This means you don’t have to spend time clicking through the various systems.
How does amberAI work?
amberAI offers similar functionalities to Google and ChatGPT – but brings these functionalities into the company’s everyday life. Instead of training an AI model with internal company data, a search is first started in the company’s various systems. The existing access rights are already taken into account in this step. amberSearch is used for the search. amberSearch is an intelligent enterprise search in concept.
However, instead of just displaying search results, these results are transferred as context to a generative AI, which converts this content into the format required by the user. This enables amberAI to collate information that is actually stored in drives, SharePoint and intranet entries, for example, and put it into a format that the user wants. This technology is called Retrieval Augmented Generation – a mixture of information retrieval and generative AI. If you would like to read more information on how the technology works, we can recommend this blog article.
Why is amberAI an alternative to Microsoft Copilot or other AI tools?
amberSearch, the company behind amberAI, has developed its own AI models that are specially optimised for the German language. In contrast to Copilot or other AI systems from large providers, amberAI does not focus exclusively on a single software system, but on different softwaresystems which it makes intelligent.
This means that today’s IT infrastructure consisting of various tools (M365, Atlassian, project management tool, CRM, customer support tool, DMS, etc.) can be taken into account. As an independent provider, amberSearch does not focus exclusively on its own systems, but integrates various systems into amberAI. These include, for example, integrations of drives, Jira, Confluence, DMS systems such as d.velop or intranets such as Staffbase or Haiilo. Of course, Microsoft itself can also be integrated into amberAI.
Why should you choose amberAI as an alternative to Microsoft Copilot, EinsteinAI, Google Duet AI or other software-specific AI solutions?
The biggest problem with the major providers is that their systems focus exclusively on their own software ecosystem in order to further cement its integration into companies.
For companies, this means that they would theoretically have to buy a separate AI for each software solution. In practice, however, this completely contradicts the expectations of employees, as they ideally expect a cross-system AI assistant. If you do decide to go down this route, the purchasing department will ask a few questions as to why 3 different AI assistants should be purchased for the various tools.
Companies should be aware of the following, particularly with regard to Microsoft: Many companies already purchase various products from Microsoft and are therefore becoming more dependent on one provider. Where in the hardware business a dependency on Microsoft, as it exists in many companies, would be unimaginable, this is accepted in the IT sector with reference to the effort involved in interface integrations. We also position ourselves below the Microsoft copilot in terms of price.
With amberAI, we are relying on an independent provider that can connect a large number of other systems via the integration of the M365 world and even has an open interface. The architecture as a standard solution ensures that amberAI can be integrated with a technical effort of less than half a day.
You can find a more detailed comparison between Copilot and amberAI here.